The DOI matches its Crossref record; 194 of the 194 references it cites were found in a registry or an index.
Liposome and immune system interplay: Challenges and potentials
Abstract
Liposome as a revolutionizing carrier, has exhibited favorable aspects in drug delivery. However, there are numerous challenges affecting its effectiveness. Hypersensitivity, accelerated blood clearance, opsonization, uptake by reticulo-endothelial system, and also immune suppression are known as the dominant manifestations of immune-related effects. They may cause failure to achieve the proof of regulatory approvals. In this review, liposome challenges in biologic environment have been discussed. Moreover, opsonization and liposome interactions with innate and acquired immune system have been investigated. Immune system elements including the corresponding receptors and cells were reviewed in this regard. By exploring immune related interactions of the liposome, it could be possible for the formulators to be aware of the immune related interactions of the administered liposomal formulation. On the other hand, immune targeted liposomes for immunotherapy and vaccination purposes could also be developed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The role of pattern-recognition receptors in innate immunity: update on Toll-like receptors
Kawai, T., & Akira, S. (2010) · Nature Immunology · doi:10.1038/ni.1863 · Cited by 9,304
Danaei, M., Dehghankhold, M., Ataei, S., Hasanzadeh Davarani, F., Javanmard, R., Dokhani, A., Khorasani, S., & Mozafari, M. R. (2018) · Pharmaceutics · doi:10.3390/pharmaceutics10020057 · Cited by 4,832
Diffusion of univalent ions across the lamellae of swollen phospholipids
Bangham, A. D., Standish, M. M., & Watkins, J. C. (1965) · Journal of Molecular Biology · doi:10.1016/s0022-2836(65)80093-6 · Cited by 4,664
Poly(ethylene glycol) in Drug Delivery: Pros and Cons as Well as Potential Alternatives
Knop, K., Hoogenboom, R., Fischer, D., & Schubert, U. S. (2010) · Angewandte Chemie International Edition · doi:10.1002/anie.200902672 · Cited by 3,533
PEGylation, successful approach to drug delivery
Veronese, F. M., & Pasut, G. (2005) · Drug Discovery Today · doi:10.1016/s1359-6446(05)03575-0 · Cited by 2,339
Mellman, I., & Steinman, R. M. (2001) · Cell · doi:10.1016/s0092-8674(01)00449-4 · Cited by 2,237
Progress and challenges towards targeted delivery of cancer therapeutics
Rosenblum, D., Joshi, N., Tao, W., Karp, J. M., & Peer, D. (2018) · Nature Communications · doi:10.1038/s41467-018-03705-y · Cited by 2,220
Liposomal Formulations in Clinical Use: An Updated Review
Bulbake, U., Doppalapudi, S., Kommineni, N., & Khan, W. (2017) · Pharmaceutics · doi:10.3390/pharmaceutics9020012 · Cited by 2,156
The roles of TLRs, RLRs and NLRs in pathogen recognition
Kawai, T., & Akira, S. (2009) · International Immunology · doi:10.1093/intimm/dxp017 · Cited by 1,670
Moghimi, S. M., & Szebeni, J. (2003) · Progress in Lipid Research · doi:10.1016/s0163-7827(03)00033-x · Cited by 1,227
Cited by
Drug repurposing for cancer therapy
Xia, Y., Sun, M., Huang, H., & Jin, W.-L. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01808-1 · Cited by 443
“364 Their inherent ability to transport both hydrophobic and hydrophilic agents, 347 combined with their ease of synthesis, extensive surface area, and adaptability for targeted modi fi cations, positions them as a pivotal vehicle for drug delivery.”
BackgroundResearch progress in membrane fusion-based hybrid exosomes for drug delivery systems
Liu, A., Yang, G., Liu, Y., & Liu, T. (2022) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2022.939441 · Cited by 88
Fan, X., Jiang, K., Geng, F., Lu, W., & Wei, G. (2023) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2023.114864 · Cited by 33
Metadata
- Authors
- Zahednezhad, F., Saadat, M., Valizadeh, H., Zakeri-Milani, P., & Baradaran, B.
- Venue
- Journal of Controlled Release
- Publisher
- Elsevier BV
- Published
- 2019-07
- Volume
- 305
- Pages
- 194-209
- ISSN
- 0168-3659 (ISSN-L)
- OpenAlex
- W2946446720
- Cited by
- 267
- References
- 194
- FWCI
- 5.81
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Liposome and immune system interplay: Challenges and potentials. https://app.cochat.ai/papers/10.1016/j.jconrel.2019.05.030
- The paper
- Zahednezhad, F., Saadat, M., Valizadeh, H., Zakeri-Milani, P., & Baradaran, B. (2019). Liposome and immune system interplay: Challenges and potentials. Journal of Controlled Release. https://doi.org/10.1016/j.jconrel.2019.05.030
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.